activity
20192023
most citedFundamental limitations to no-jerk gearshifts of multi-speed transmission architectures in electric vehicles

22 citations · 67 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 12 cited

ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control

Xingshuai Huang, Di Wu, Michael Jenkin +1

Traffic signal control is of critical importance for the effective use of transportation infrastructures. The rapid increase of vehicle traffic and changes in traffic patterns make…

eess.SY2021

Learning-based synthesis of robust linear time-invariant controllers

Marc-Antoine Beaudoin, Benoit Boulet

Recent advances in learning for control allow to synthesize vehicle controllers from learned system dynamics and maintain robust stability guarantees. However, no approach is well-…

eess.SY2021

Improving gearshift controllers for electric vehicles with reinforcement learning

Marc-Antoine Beaudoin, Benoit Boulet

During a multi-speed transmission development process, the final calibration of the gearshift controller parameters is usually performed on a physical test bench. Engineers typical…

cs.LG2021

Time Series Anomaly Detection for Smart Grids: A Survey

Jiuqi Elise Zhang, Di Wu, Benoit Boulet

With the rapid increase in the integration of renewable energy generation and the wide adoption of various electric appliances, power grids are now faced with more and more challen…

eess.SY2021★ 4 cited

Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey

Huiliang Zhang, Sayani Seal, Di Wu +3

Building energy management is one of the core problems in modern power grids to reduce energy consumption while ensuring occupants' comfort. However, the building energy management…